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swiftdata-coredata-persistenceswiftdata coredata 持久化

Agent Skill

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。它适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构,或定位布局和性能问题。使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段;涉及页面改动时,应配合本地预览和构建检查确认视觉效果。

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CodexClaudeCursorGemini CLI

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GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

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来源可访问

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请帮我安装这个 Agent Skill:swiftdata-coredata-persistence(swiftdata coredata 持久化)
来源仓库:https://github.com/dagba/ios-mcp
仓库路径:skills/swiftdata-coredata-persistence
安装命令:
npx skills add https://github.com/dagba/ios-mcp --skill swiftdata-coredata-persistence
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

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skills.shnpx skills
npx skills add https://github.com/dagba/ios-mcp --skill swiftdata-coredata-persistence

简介

swiftdata-coredata-persistence 用于辅助前端页面、组件、样式和交互逻辑的开发与维护。

  • 适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构。
  • 使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段。
  • 涉及页面改动时,应配合本地预览和构建检查确认视觉效果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。

SKILL.md

SwiftData & CoreData Persistence

Overview

SwiftData and CoreData are NOT interchangeable. Each has specific strengths, migration traps, and performance patterns. Wrong framework choice or migration strategy causes production crashes.

Core principle: Choose framework based on app constraints, version models from day one, never store BLOBs in the database.

Framework Selection

digraph framework_choice {
    "New iOS app?" [shape=diamond];
    "iOS 17+ only?" [shape=diamond];
    "Simple data model?" [shape=diamond];
    "iCloud sync?" [shape=diamond];
    "Existing CoreData?" [shape=diamond];
    "Use SwiftData" [shape=box, style=filled, fillcolor=lightgreen];
    "Use CoreData" [shape=box, style=filled, fillcolor=lightblue];
    "Stay with CoreData" [shape=box, style=filled, fillcolor=lightblue];

    "New iOS app?" -> "iOS 17+ only?" [label="yes"];
    "New iOS app?" -> "Existing CoreData?" [label="no"];
    "Existing CoreData?" -> "Stay with CoreData" [label="yes"];
    "Existing CoreData?" -> "iOS 17+ only?" [label="no"];
    "iOS 17+ only?" -> "Simple data model?" [label="yes"];
    "iOS 17+ only?" -> "Use CoreData" [label="no"];
    "Simple data model?" -> "iCloud sync?" [label="yes"];
    "Simple data model?" -> "Use CoreData" [label="no"];
    "iCloud sync?" -> "Use SwiftData" [label="yes"];
    "iCloud sync?" -> "Use SwiftData" [label="no"];
}

Choose SwiftData When

  • New app, iOS 17+ deployment target
  • Simple relationships (mostly 1:1 or 1:N, few complex queries)
  • SwiftUI-first architecture
  • iCloud sync needed with minimal configuration

Choose CoreData When

  • iOS 16 or earlier support required
  • Complex queries with NSCompoundPredicate, subqueries
  • UIKit-heavy app with NSFetchedResultsController
  • Existing CoreData codebase (migration complex, stay with CoreData)
  • Performance critical (as of 2025, CoreData still faster)
  • Abstract entities or inheritance hierarchies

Migration Death Traps

Trap 1: Unversioned → Versioned with iCloud

CRITICAL: If you shipped unversioned SwiftData with iCloud sync, users will crash on first migration.

Error: "Cannot use staged migration with an unknown model version"

Why: CloudKit requires versioned schemas for sync consistency.

Solution:

// ❌ WRONG: Adding versioning after shipping unversioned + iCloud
// This will crash for all existing users

// ✅ CORRECT: Two-phase migration
// Version 1.1: Add versioning WITHOUT schema changes
enum SchemaV1: VersionedSchema {
    static var models: [any PersistentModel.Type] { [User.self] }

    @Model
    final class User {
        var name: String
        var email: String
        // EXACT same schema as shipped v1.0
    }
}

// Version 1.2: Now safe to add new properties
enum SchemaV2: VersionedSchema {
    static var models: [any PersistentModel.Type] { [User.self] }

    @Model
    final class User {
        var name: String
        var email: String
        var createdAt: Date? // New property
    }
}

Rule: Start with versioned schemas from day one, or ship versioning wrapper first.

Trap 2: Unique Constraint with Duplicates

Scenario: Adding @Attribute(.unique) when data has duplicates.

Result: Lightweight migration fails, app becomes non-functional.

Solution: Complex migration with deduplication BEFORE applying constraint.

struct DeduplicateThenUnique: MigrationStage {
    func migrate(context: ModelContext) throws {
        let items = try context.fetch(FetchDescriptor<OldSchema.Product>())
        let grouped = Dictionary(grouping: items, by: { $0.sku })

        // Keep first, delete duplicates
        for (_, duplicates) in grouped where duplicates.count > 1 {
            for item in duplicates.dropFirst() {
                context.delete(item)
            }
        }
        try context.save()
    }
}

Rule: Clean data BEFORE applying constraints. Test with production data backup.

Trap 3: iCloud Sync Blocks Migrations

CRITICAL: Once iCloud sync enabled, SwiftData blocks migrations that break lightweight compatibility.

What this means:

  • Cannot rename properties (breaks sync)
  • Cannot change relationship delete rules (breaks sync)
  • Cannot remove required properties (breaks sync)

Workaround:

// Instead of renaming (blocked):
// @Model class User {
//     var userName: String // Renamed from 'name'
// }

// Add new, deprecate old (allowed):
@Model class User {
    var name: String // Keep for backward compatibility
    var userName: String? // New preferred field

    var displayName: String {
        userName ?? name // Compute from both
    }
}

Rule: With iCloud, only additive changes allowed. Design schema carefully upfront.

Trap 4: Main Thread Migration Blocking

Symptom: White screen for 3-5 seconds on app launch after update.

Cause: Large dataset migration runs on main thread.

Solution: Background initialization.

// ✅ Initialize container on background thread
Task.detached {
    let container = try await ModelContainer(
        for: User.self,
        migrationPlan: MigrationPlan.self
    )
    await MainActor.run {
        self.container = container
    }
}

Rule: Always test migrations with realistic data size (1000+ records).

Performance Patterns

Pattern 1: Batch Fetching

Problem: Loading 1000+ objects at once consumes memory, blocks UI.

Solution: fetchBatchSize for lazy loading.

// ❌ WRONG: Loads all 1000 posts into memory
let request: NSFetchRequest<Post> = Post.fetchRequest()
let posts = try context.fetch(request)

// ✅ CORRECT: Loads 20 at a time as needed
let request: NSFetchRequest<Post> = Post.fetchRequest()
request.fetchBatchSize = 20
let posts = try context.fetch(request)

Rule: Always set fetchBatchSize for feeds, lists, paginated views.

Pattern 2: BLOB Storage

Problem: Storing images/videos in CoreData/SwiftData kills performance.

Rule:

  • < 100KB: Store inline (safe)
  • 100KB - 1MB: Separate entity with relationship
  • > 1MB: File system + store path in database
// ❌ WRONG: 2MB images in Post entity
@Model
class Post {
    var title: String
    @Attribute(.externalStorage) var image: Data // Still loads eagerly!
}

// ✅ CORRECT: File system storage
@Model
class Post {
    var title: String
    var imagePath: String? // "images/post-123.jpg"
}

// Load image on-demand
func loadImage(for post: Post) -> UIImage? {
    guard let path = post.imagePath else { return nil }
    let url = FileManager.documentsDirectory.appendingPathComponent(path)
    return UIImage(contentsOfFile: url.path)
}

Why: Database fetches load full objects. BLOBs inflate memory usage even when not displayed.

Pattern 3: Faulting for Relationships

Problem: Fetching posts eagerly loads all related users and images.

Solution: Return faults, load on access.

// ✅ Relationships default to faults (good)
let request: NSFetchRequest<Post> = Post.fetchRequest()
request.relationshipKeyPathsForPrefetching = [] // Don't prefetch
let posts = try context.fetch(request)

// Access triggers individual fault:
let authorName = posts[0].author.name // Only now loads User

// ✅ Prefetch when you know you'll need it:
request.relationshipKeyPathsForPrefetching = ["author"]

Rule: Only prefetch relationships you'll access for ALL fetched objects.

Pattern 4: NSFetchedResultsController (CoreData)

For: Table/collection views with live updates.

Why: Lazy loads, automatic UI updates, sectioning built-in.

let request: NSFetchRequest<Post> = Post.fetchRequest()
request.sortDescriptors = [NSSortDescriptor(key: "createdAt", ascending: false)]
request.fetchBatchSize = 20

let frc = NSFetchedResultsController(
    fetchRequest: request,
    managedObjectContext: context,
    sectionNameKeyPath: nil,
    cacheName: "PostsCache"
)

frc.delegate = self
try frc.performFetch()

// UITableView uses frc.fetchedObjects

Rule: Use FRC for all CoreData-backed table/collection views.

SwiftData Limitations (as of iOS 18)

FeatureCoreDataSwiftDataWorkaround
NSCompoundPredicateMultiple queries
NSFetchedResultsController@Query in SwiftUI
Abstract entitiesUse protocols
Child contextsUse ModelContext
Subclassing modelsDon't subclass
PerformanceFasterSlowerWait for updates

Common Mistakes

MistakeRealityFix
"Migrations are automatic"Only lightweight migrations. Unique constraints, renames require complex migrations.Test with production data
"I'll version later"Unversioned + iCloud = crash on first migrationVersion from day one
"SwiftData = CoreData simplified"SwiftData has different rules (no subclassing, different delete rules)Learn SwiftData-specific constraints
"externalStorage attribute fixes BLOBs"Still loaded into memory on fetchStore in file system
"I can rename properties freely"With iCloud, renames blockedAdd new property, keep old
"Migration won't block UI"Large datasets block main threadBackground initialization

Migration Checklist

Before shipping schema change:

  • Defined versioned schemas (V1, V2)
  • Written migration stage if complex (deduplication, renames)
  • Tested with production data backup (1000+ records)
  • Tested migration on background thread (no white screen)
  • Verified iCloud sync works post-migration
  • Checked new properties have defaults or are optional
  • Confirmed unique constraints applied to clean data only

Quick Reference

SwiftData:

// Basic model
@Model
class User {
    @Attribute(.unique) var email: String
    var name: String
    @Relationship(deleteRule: .cascade) var posts: [Post]
}

// Versioned schemas
enum SchemaV1: VersionedSchema {
    static var models: [any PersistentModel.Type] { [User.self] }
    @Model final class User { /* ... */ }
}

// Query (SwiftUI)
@Query(sort: \.createdAt, order: .reverse) var users: [User]

CoreData:

// Fetch with batching
let request: NSFetchRequest<User> = User.fetchRequest()
request.fetchBatchSize = 20
request.predicate = NSPredicate(format: "name CONTAINS[cd] %@", searchText)

// Background context
let bgContext = container.newBackgroundContext()
bgContext.perform {
    // Heavy work here
    try? bgContext.save()
}

Red Flags - STOP and Reconsider

  • Shipped unversioned schema with iCloud → Ship versioning wrapper first
  • Adding unique constraint to dirty data → Run deduplication migration
  • Storing multi-MB files in database → Move to file system
  • White screen on launch after update → Background migration
  • Fetch taking >500ms → Add fetchBatchSize, check for BLOBs
  • "I'll handle migration when users complain" → Test NOW with production data

Real-World Impact

Before: App crashes for 100% of users with iCloud enabled after first migration (unversioned→versioned trap).

After: Ship v1.1 with versioning wrapper (no schema change), then v1.2 with actual changes. Zero crashes.


Before: Feed loads in 4 seconds with 1000 posts + 2MB images each.

After: Images moved to file system, fetchBatchSize = 20. Feed loads in 300ms, lazy-loads images.

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